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Customer Relationship Management (CRM)
Customer Relationship Management (CRM)
Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they a...
 

 creation of an allergy or precautions list based on initial and ongoing assessment data

ERP for Mill-based and Material Converting Environments RFI/RFP Template

Financials, HR, Material Converting Manufacturing Management, Inventory Management, Purchasing Management, Quality Management, Sales Management, and Product Technology Get this template

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Customer Relationship Management (CRM)
Customer Relationship Management (CRM)
Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they a...

Documents related to » creation of an allergy or precautions list based on initial and ongoing assessment data

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

creation of an allergy or precautions list based on initial and ongoing assessment data  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses Read More

Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

creation of an allergy or precautions list based on initial and ongoing assessment data  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More

New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

creation of an allergy or precautions list based on initial and ongoing assessment data  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

creation of an allergy or precautions list based on initial and ongoing assessment data  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

creation of an allergy or precautions list based on initial and ongoing assessment data  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More

Collaboration 2.0: Taking Collaboration to the Next Level: From the E-mail and Document-centric World of 'Enterprise 1.0' to the People-Centric World of Enterprise 2.0


Most business collaboration continues to be conducted via e-mail and shared folders, but forward-looking organizations are increasingly considering socially oriented and real-time collaboration solutions to instantly and seamlessly increase productivity between employees, suppliers, customers, and stakeholders. This white paper discusses new products, services, and technologies entering the enterprise collaboration space.

creation of an allergy or precautions list based on initial and ongoing assessment data  2.0: Taking Collaboration to the Next Level: From the E-mail and Document-centric World of ''Enterprise 1.0'' to the People-Centric World of Enterprise 2.0 Most business collaboration continues to be conducted via e-mail and shared folders, but forward-looking organizations are increasingly considering socially oriented and real-time collaboration solutions to instantly and seamlessly increase productivity between employees, suppliers, customers, and stakeholders. This white paper discusses new Read More

On Demand or On Premise: Understanding the Deployment Options for Your New Business Management System


When implementing a new business management system, you need to consider many factors. With advances in Web technologies and growth in broadband across the Internet, alternative deployment methods have emerged. Nowadays, you often must include the question of whether to implement the solution on premise or on demand. Find out more about these options and how your choice can impact the overall success of your solution.

creation of an allergy or precautions list based on initial and ongoing assessment data  Demand or On Premise: Understanding the Deployment Options for Your New Business Management System When implementing a new business management system, you need to consider many factors. With advances in Web technologies and growth in broadband across the Internet, alternative deployment methods have emerged. Nowadays, you often must include the question of whether to implement the solution on premise or on demand. Find out more about these options and how your choice can impact the overall success of Read More

Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

creation of an allergy or precautions list based on initial and ongoing assessment data  Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and Read More

The Value of Measuring End-User Experience from a Global Point of Presence


As businesses expand to different geographies and markets, they develop new types of online tools and services to ensure growth. As end users interacts with these tools, it becomes critical to gain insight into the end-user experience. This white paper discusses the need to measure end-user experience from a global perspective and also how Site24x7 can help organizations achieve optimal level of quality end-user experience.

creation of an allergy or precautions list based on initial and ongoing assessment data  Value of Measuring End-User Experience from a Global Point of Presence As businesses expand to different geographies and markets, they develop new types of online tools and services to ensure growth. As end users interacts with these tools, it becomes critical to gain insight into the end-user experience. This white paper discusses the need to measure end-user experience from a global perspective and also how Site24x7 can help organizations achieve optimal level of quality end-user experience. Read More

The Path to Healthy Data Governance through Data Security


Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

creation of an allergy or precautions list based on initial and ongoing assessment data  Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path Read More

The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

creation of an allergy or precautions list based on initial and ongoing assessment data  major issue was the creation of the near real-time data warehouse. The Near Real-time Data Warehouse The extraction, transformation, and load (ETL) process represents one of the major challenges in real-time data warehouse design. All ETL data warehouse processes were originally designed to be executed in batch mode, during previously scheduled downtimes. All operational data from distinct sources (e.g. ERP systems) was extracted, cleansed under a stage repository, and loaded into the data warehouse over Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

creation of an allergy or precautions list based on initial and ongoing assessment data  ) Next came the creation of Extract/Transform/Load (ETL) tools, which made use of the metadata to get the information from the source systems into the data warehouse. Additional tools, which made use of SQL (Structured Query Language), were developed to give end-users direct access to the data in the warehouse. As time went by, the query tools became user-friendly, and many now have a parser that can turn plain English questions into valid SQL. These end-user tools are now loosely referred to as Read More

The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

creation of an allergy or precautions list based on initial and ongoing assessment data  Operational Data Lake: Your On Ramp to Big Data Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance Read More

Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

creation of an allergy or precautions list based on initial and ongoing assessment data  Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quali Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

creation of an allergy or precautions list based on initial and ongoing assessment data  Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data Read More